Instructions to use RyanJT/trained-quant-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RyanJT/trained-quant-8bit with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("RyanJT/quantized-granite-4bit-3b-code-instruct") model = PeftModel.from_pretrained(base_model, "RyanJT/trained-quant-8bit") - Notebooks
- Google Colab
- Kaggle
File size: 137 Bytes
3cc471a | 1 2 3 4 5 6 7 8 | {
"_from_model_config": true,
"bos_token_id": 0,
"eos_token_id": 0,
"pad_token_id": 0,
"transformers_version": "4.42.0.dev0"
}
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